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anonymous

4 years ago

In testing for light and dark preferences in cricket habitats, what would be an unavoidable source of experimental error?
Cost of the project
Amount of light exposure
Determination of cricket preference
Variation in habitat terrain

More answers

anonymous

4 years ago

cost of project cancelled

anonymous

4 years ago

cricket preference doesnt really matter

anonymous

4 years ago

amount of light exposure is my choice

anonymous

4 years ago

g. A computer simulation of plant pollination involves 2 “parent” plants. However, in nature, plants most pollination would involve many plants randomly sharing pollen, depending on the pollinator. Using a living specimen would improve understanding because
Living models have variables that a computer model cannot account for.
Ecosystems are simple, and computer models are complex.
You will get the same results each time with a living model.
Computer models are not limited by “built in” parameters.

anonymous

4 years ago

i hust have two question left after this one

anonymous

4 years ago

how do you know the first answer is right

anonymous

4 years ago

the one before am go9ng to ask my teacher

anonymous

4 years ago

the last three statements seem to be false
they are misleading

anonymous

4 years ago

the first one living models have variables that a computer cannot account for should be right

anonymous

4 years ago

In 2009, paleontologists working in Ethiopia found the fossil of a 4.4 million year old ape-like species. They have since named this specimen “Ardi” which is short for Ardipithicus ramidus. This fossil find will be highly investigated because of previous frauds like the “Piltdown Man” that was a fake hominid fossil and was a mixture of elephant, medieval human, orangutan, hippopotamus and dog parts. The serious investigation of this fossil is important because
If an observation does not agree with an accepted scientific theory, it must be thrown out because it is not valid.
Observations must always agree with accepted scientific theory.
Observations are sometimes mistakes or fraudulent.
Theories are often wrong.